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Dayflow-PR: High-Resolution Streamflow Reanalysis for Puerto Rico, Version 1.0

Dataset ·

This dataset presents a high-resolution historical streamflow reanalysis for NHDPlusV2 stream reaches across Puerto Rico (PR) spanning 1950 - 2019. The reanalysis is generated using the calibrated VIC-RAPID hydrologic modeling framework at the Hydrologic Unit Code Sub-basin (HUC08) scale, forced with sub-daily and daily meteorological forcings from Daymet. Runoff is simulated on 1- and 6-km grids, and the resulting total runoff is routed through the NHDPlusV2 river network using the RAPID routing model to produce Naturalized Streamflow Reanalysis. Where complete observational records are available over 1980 - 2019, streamflows are assimilated (substituted) and subsequently routed downstream through the river network to produce Assimilated Streamflow Reanalysis. The dataset includes streamflow outputs from eight distinct hydrologic modeling configurations along with key performanc evaluation metrics at daily and monthly scales, supporting a wide range of water resource applications. This dataset is derived to support the Non-Powered Dam Assessment, as well as 9505 Secure Water Assessment projects for the US Department of Energy (DOE) Water Power Technologies Office (WPTO). For further details, refer to Ghimire et al. (2023), Kao et al. (2024), and Ghimire et al. (2025).

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
Water Power Technologies Office (WPTO)
DOE Contract Number:
AC05-00OR22725
OSTI ID:
2583869
Country of Publication:
United States
Language:
English

References (4)

Insights From Dayflow: A Historical Streamflow Reanalysis Dataset for the Conterminous United States journal January 2023
Enhancing Streamflow Reanalysis Across the Conterminous US Leveraging Multiple Gridded Precipitation Data Sets journal March 2025
CMIP6-based Multi-model Streamflow Projections over the Conterminous US, Version 1.1
  • Kao, Shih-Chieh; Ghimire, Ganesh; Gangrade, Sudershan
  • Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) https://doi.org/10.13139/OLCF/2318650
dataset January 2024
The Third Assessment of the Effects of Climate Change on Federal Hydropower report September 2022